At Foundation AI, we are looking for a Software Engineer to help design, develop, and optimize high-quality software solutions. You will be a key contributor to our product teams, working across the full stack to deliver impactful features. This role demands strong coding fundamentals, a problem-solving mindset, and a willingness to learn and adapt. You’ll collaborate with engineers, product managers, and designers to build scalable, secure, and maintainable software.

• Key Responsibilities:Software Development: Write clean, maintainable, and scalable code using the company’s technology stack.
• Feature Implementation: Work closely with peers and cross-functional teams to build and deliver features end-to-end.
• Code Quality: Participate in code reviews, write unit and integration tests, and follow clean code and best practices.
• Collaboration: Work with designers, product managers, and QA to understand requirements and deliver solutions.
• Agile Execution: Participate in agile ceremonies like sprint planning, grooming, and retrospectives.
• CI/CD & DevOps: Contribute to deployment pipelines and help maintain a reliable delivery process.
• Debugging & Troubleshooting: Investigate and resolve issues and bugs in production and staging environments.
• Documentation: Maintain documentation for features, services, and key technical decisions.
• Responsibilities may be tailored based on the candidate’s experience and proficiency.Skills and Tools:Experience: 1-2 years as a software engineer, preferably full-stack.
• Programming & Development: Proficient in Python (Flask/FastAPI) and JavaScript (ES6+); experience with React, Angular, or Vue; builds and consumes REST APIs.
• Databases & Messaging: Knowledge of PostgreSQL or relational databases; hands-on with RabbitMQ.
• DevOps & Observability: Experience with Git, Docker, CI/CD pipelines (e.g., GitHub Actions); familiar with observability tools like ELK, Datadog, Splunk, or New Relic.
• Architecture & Design: Understands modular and scalable system design; applies OOP and design patterns; familiar with distributed system concepts.
• Testing & Quality: Implements unit and integration tests; follows TDD/BDD and ensures code quality.
• Problem-Solving & Innovation: Debugs moderately complex systems; optimizes performance; evaluates trade-offs.
• Additional Skills: Familiarity with Celery, async task processing, Kubernetes, Airflow, frontend security practices, Agile/Scrum, and reading LLD/HLD documentation.

Education